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Running
on
Zero
import torch | |
import gradio as gr | |
import spaces | |
from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer | |
import os | |
from threading import Thread | |
import random | |
from datasets import load_dataset | |
HF_TOKEN = os.environ.get("HF_TOKEN", None) | |
MODEL_ID = "CohereForAI/c4ai-command-r7b-12-2024" | |
MODELS = os.environ.get("MODELS") | |
MODEL_NAME = MODEL_ID.split("/")[-1] | |
TITLE = "<h1><center>์จ๋๋ฐ์ด์ค AI(Open LLM ๋ชจ๋ธ)</center></h1>" | |
CSS = """ | |
.duplicate-button { | |
margin: auto !important; | |
color: white !important; | |
background: black !important; | |
border-radius: 100vh !important; | |
} | |
h3 { | |
text-align: center; | |
} | |
.chatbox .messages .message.user { | |
background-color: #e1f5fe; | |
} | |
.chatbox .messages .message.bot { | |
background-color: #eeeeee; | |
} | |
""" | |
# ๋ชจ๋ธ๊ณผ ํ ํฌ๋์ด์ ๋ก๋ | |
model = AutoModelForCausalLM.from_pretrained( | |
MODEL_ID, | |
torch_dtype=torch.bfloat16, | |
device_map="auto", | |
) | |
tokenizer = AutoTokenizer.from_pretrained(MODEL_ID) | |
# ๋ฐ์ดํฐ์ ๋ก๋ | |
dataset = load_dataset("elyza/ELYZA-tasks-100") | |
print(dataset) | |
split_name = "train" if "train" in dataset else "test" | |
examples_list = list(dataset[split_name]) | |
examples = random.sample(examples_list, 50) | |
example_inputs = [[example['input']] for example in examples] | |
def stream_chat(message: str, history: list, temperature: float, max_new_tokens: int, top_p: float, top_k: int, penalty: float): | |
print(f'message is - {message}') | |
print(f'history is - {history}') | |
conversation = [] | |
for prompt, answer in history: | |
conversation.extend([{"role": "user", "content": prompt}, {"role": "assistant", "content": answer}]) | |
conversation.append({"role": "user", "content": message}) | |
input_ids = tokenizer.apply_chat_template(conversation, tokenize=False, add_generation_prompt=True) | |
inputs = tokenizer(input_ids, return_tensors="pt").to(0) | |
streamer = TextIteratorStreamer(tokenizer, timeout=10., skip_prompt=True, skip_special_tokens=True) | |
generate_kwargs = dict( | |
inputs, | |
streamer=streamer, | |
top_k=top_k, | |
top_p=top_p, | |
repetition_penalty=penalty, | |
max_new_tokens=max_new_tokens, | |
do_sample=True, | |
temperature=temperature, | |
eos_token_id=[255001], | |
) | |
thread = Thread(target=model.generate, kwargs=generate_kwargs) | |
thread.start() | |
buffer = "" | |
for new_text in streamer: | |
buffer += new_text | |
yield buffer | |
chatbot = gr.Chatbot(height=500) | |
CSS = """ | |
/* ์ ์ฒด ํ์ด์ง ์คํ์ผ๋ง */ | |
body { | |
background: linear-gradient(135deg, #f5f7fa 0%, #c3cfe2 100%); | |
min-height: 100vh; | |
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; | |
} | |
/* ๋ฉ์ธ ์ปจํ ์ด๋ */ | |
.container { | |
max-width: 1200px; | |
margin: 0 auto; | |
padding: 2rem; | |
background: rgba(255, 255, 255, 0.95); | |
border-radius: 20px; | |
box-shadow: 0 20px 40px rgba(0, 0, 0, 0.1); | |
backdrop-filter: blur(10px); | |
transform: perspective(1000px) translateZ(0); | |
transition: all 0.3s ease; | |
} | |
/* ์ ๋ชฉ ์คํ์ผ๋ง */ | |
h1 { | |
color: #2d3436; | |
font-size: 2.5rem; | |
text-align: center; | |
margin-bottom: 2rem; | |
text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.1); | |
transform: perspective(1000px) translateZ(20px); | |
} | |
h3 { | |
text-align: center; | |
color: #2d3436; | |
font-size: 1.5rem; | |
margin: 1rem 0; | |
} | |
/* ์ฑํ ๋ฐ์ค ์คํ์ผ๋ง */ | |
.chatbox { | |
background: white; | |
border-radius: 15px; | |
box-shadow: 0 8px 32px rgba(31, 38, 135, 0.15); | |
backdrop-filter: blur(4px); | |
border: 1px solid rgba(255, 255, 255, 0.18); | |
padding: 1rem; | |
margin: 1rem 0; | |
transform: translateZ(0); | |
transition: all 0.3s ease; | |
} | |
/* ๋ฉ์์ง ์คํ์ผ๋ง */ | |
.chatbox .messages .message.user { | |
background: linear-gradient(145deg, #e1f5fe, #bbdefb); | |
border-radius: 15px; | |
padding: 1rem; | |
margin: 0.5rem; | |
box-shadow: 5px 5px 15px rgba(0, 0, 0, 0.05); | |
transform: translateZ(10px); | |
animation: messageIn 0.3s ease-out; | |
} | |
.chatbox .messages .message.bot { | |
background: linear-gradient(145deg, #f5f5f5, #eeeeee); | |
border-radius: 15px; | |
padding: 1rem; | |
margin: 0.5rem; | |
box-shadow: 5px 5px 15px rgba(0, 0, 0, 0.05); | |
transform: translateZ(10px); | |
animation: messageIn 0.3s ease-out; | |
} | |
/* ๋ฒํผ ์คํ์ผ๋ง */ | |
.duplicate-button { | |
background: linear-gradient(145deg, #24292e, #1a1e22) !important; | |
color: white !important; | |
border-radius: 100vh !important; | |
padding: 0.8rem 1.5rem !important; | |
box-shadow: 3px 3px 10px rgba(0, 0, 0, 0.2) !important; | |
transition: all 0.3s ease !important; | |
border: none !important; | |
cursor: pointer !important; | |
} | |
.duplicate-button:hover { | |
transform: translateY(-2px) !important; | |
box-shadow: 0 5px 15px rgba(0, 0, 0, 0.3) !important; | |
} | |
/* ์ ๋ ฅ ํ๋ ์คํ์ผ๋ง */ | |
""" | |
with gr.Blocks(css=CSS) as demo: | |
gr.HTML(TITLE) | |
gr.ChatInterface( | |
fn=stream_chat, | |
chatbot=chatbot, | |
fill_height=True, | |
theme="soft", | |
additional_inputs_accordion=gr.Accordion(label="โ๏ธ ์ต์ ์ ", open=False, render=False), | |
additional_inputs=[ | |
gr.Slider( | |
minimum=0, | |
maximum=1, | |
step=0.1, | |
value=0.8, | |
label="์จ๋", | |
render=False, | |
), | |
gr.Slider( | |
minimum=128, | |
maximum=1000000, | |
step=1, | |
value=100000, | |
label="์ต๋ ํ ํฐ ์", | |
render=False, | |
), | |
gr.Slider( | |
minimum=0.0, | |
maximum=1.0, | |
step=0.1, | |
value=0.8, | |
label="์์ ํ๋ฅ ", | |
render=False, | |
), | |
gr.Slider( | |
minimum=1, | |
maximum=20, | |
step=1, | |
value=20, | |
label="์์ K", | |
render=False, | |
), | |
gr.Slider( | |
minimum=0.0, | |
maximum=2.0, | |
step=0.1, | |
value=1.0, | |
label="๋ฐ๋ณต ํจ๋ํฐ", | |
render=False, | |
), | |
], | |
examples=[ | |
["์์ด์ ์ฌ๋ฆ๋ฐฉํ ๊ณผํ ํ๋ก์ ํธ๋ฅผ ์ํ 5๊ฐ์ง ์์ด๋์ด๋ฅผ ์ฃผ์ธ์."], | |
["๋งํฌ๋ค์ด์ ์ฌ์ฉํ์ฌ ๋ธ๋ ์ดํฌ์์ ๊ฒ์ ๋ง๋ค๊ธฐ ํํ ๋ฆฌ์ผ์ ์์ฑํด์ฃผ์ธ์."], | |
["์ด๋ฅ๋ ฅ์ ๊ฐ์ง ์ฃผ์ธ๊ณต์ SF ์ด์ผ๊ธฐ ์๋๋ฆฌ์ค๋ฅผ ์์ฑํด์ฃผ์ธ์. ๋ณต์ ์ค์ , ํ ๋ง์ ๋ก๊ทธ๋ผ์ธ์ ๋ ผ๋ฆฌ์ ์ผ๋ก ์ฌ์ฉํด์ฃผ์ธ์"], | |
["์์ด์ ์ฌ๋ฆ๋ฐฉํ ์์ ์ฐ๊ตฌ๋ฅผ ์ํ 5๊ฐ์ง ์์ด๋์ด์ ๊ทธ ๋ฐฉ๋ฒ์ ๊ฐ๋จํ ์๋ ค์ฃผ์ธ์."], | |
["ํผ์ฆ ๊ฒ์ ์คํฌ๋ฆฝํธ ์์ฑ์ ์ํ ์กฐ์ธ ๋ถํ๋๋ฆฝ๋๋ค"], | |
["๋งํฌ๋ค์ด ํ์์ผ๋ก ๋ธ๋ก ๊นจ๊ธฐ ๊ฒ์ ์ ์ ๊ต๊ณผ์๋ฅผ ์์ฑํด์ฃผ์ธ์"], | |
["์ค๋ฒ ๅทๆณ๋ฅผ ์๊ฐํด์ฃผ์ธ์"], | |
["์ผ๋ณธ์ด ๊ด์ฉ๊ตฌ, ์๋ด์ ๊ดํ ์ํ ๋ฌธ์ ๋ฅผ ๋ง๋ค์ด์ฃผ์ธ์"], | |
["๋๋ผ์๋ชฝ์ ๋ฑ์ฅ์ธ๋ฌผ์ ์๋ ค์ฃผ์ธ์"], | |
["์ค์ฝ๋ ธ๋ฏธ์ผํค ๋ง๋๋ ๋ฐฉ๋ฒ์ ์๋ ค์ฃผ์ธ์"], | |
["๋ฌธ์ 9.11๊ณผ 9.9 ์ค ์ด๋ ๊ฒ์ด ๋ ํฐ๊ฐ์? step by step์ผ๋ก ๋ ผ๋ฆฌ์ ์ผ๋ก ์๊ฐํด์ฃผ์ธ์."], | |
], | |
cache_examples=False, | |
) | |
if __name__ == "__main__": | |
demo.launch() |